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Prototype Prescribing Outlier Dashboard for Lane End Surgery

At OpenPrescribing we are piloting a number of data-driven approaches to identify unusual prescribing and collect feedback on this prescribing to inform development of new tools to support prescribers and organisations to audit and review prescribing. These pilot results are provided for the interest of advanced users, although we don't know how relevant they are in practice. There is substantial variation in prescribing behaviours, across various different areas of medicine. Some variation can be explained by demographic changes, or local policies or guidelines, but much of the remaining variation is less easy to explain.

The DataLab is keen to hear your feedback on the results. You can do this by completing the following survey or emailing us at [email protected]. Please DO NOT INCLUDE IDENTIFIABLE PATIENT information in your feedback. All feedback is helpful, you can send short or detailed feedback.

This report has been developed to automatically identify prescribing patterns at a chemical level which are furthest away from “typical prescribing” and can be classified as an “outlier”. We calculate the number of prescriptions for each chemical in the BNF coding system, the count of all prescriptions within that chemical's BNF subparagraph, for prescriptions dispensed between June 2021 and December 2021. We then calculate the ratio of these counts along with the mean and standard deviation of those ratios across all Practices. From this we can calculate the “z-score”, which is a measure of how many standard deviations a given Practice is from the population mean. We then rank your “z-scores” to find the top 10 results where prescribing is an outlier for prescribing higher than its peers and those where it is an outlier for prescribing lower than its peers.

For each outlier chemical, a kernel density estimation plot of all Practice's chemical:subparagraph ratios is provided, with this Practice's ratio overlaid in red.

It is important to remember that this information was generated automatically and it is therefore likely that some of the behaviour is warranted. This report seeks only to collect information about where this variation may be warranted and where it might not, to inform research on this topic. Our full analytical method code is openly available on GitHub here.

This is a new, experimental feature. We'd love to .

Prescribing where Lane End Surgery is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Ephedrine hydrochloride 2 Topical nasal decongestants 4 0.50 0.01 0.04 11.31
Glutaraldehyde 6 Preparations for warts and calluses 11 0.55 0.01 0.05 10.11
Flavoxate hydrochloride 38 Drugs for urinary frequency enuresis and incontinence 708 0.05 0.00 0.01 9.40
Chloramphenicol 6 Otitis externa 216 0.03 0.00 0.00 7.62
Dronedarone hydrochloride 7 Drugs for arrhythmias 20 0.35 0.02 0.06 5.33
Pneumococcal 43 Vaccines and antisera 59 0.73 0.05 0.14 4.78
Lixisenatide 15 Other antidiabetic drugs 572 0.03 0.00 0.01 4.47
Metolazone 29 Thiazides and related diuretics 1,433 0.02 0.00 0.00 4.08
Dexamfetamine sulfate 71 CNS Stimulants and drugs used for ADHD 246 0.29 0.03 0.06 3.93
Lurasidone 29 Antipsychotic drugs 941 0.03 0.00 0.01 3.84

Prescribing where Lane End Surgery is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Influenza 0 Vaccines and antisera 59 0.00 0.88 0.28 -3.13
    Alendronic acid 566 Bisphosphonates and other drugs 928 0.61 0.87 0.09 -2.85
    Amitriptyline hydrochloride 1,469 Tricyclic and related antidepressant drugs 2,244 0.65 0.84 0.08 -2.46
    Co-codamol (Codeine phosphate/paracetamol) 456 Non-opioid analgesics and compound preparations 3,626 0.13 0.45 0.15 -2.12
    Azathioprine 49 Antiproliferative immunosuppressants 117 0.42 0.80 0.19 -2.06
    Ramipril 1,737 Angiotensin-converting enzyme inhibitors 4,612 0.38 0.69 0.17 -1.92
    Lactulose 69 Osmotic laxatives 698 0.10 0.28 0.10 -1.88
    Vitamin E 0 Vitamin E 4 0.00 0.72 0.41 -1.76
      Clarithromycin 121 Macrolides 402 0.30 0.57 0.16 -1.70
      Mometasone furoate 2 Topical corticosteroids 996 0.00 0.07 0.04 -1.68